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ATAL
2010
Springer
14 years 9 months ago
PAC-MDP learning with knowledge-based admissible models
PAC-MDP algorithms approach the exploration-exploitation problem of reinforcement learning agents in an effective way which guarantees that with high probability, the algorithm pe...
Marek Grzes, Daniel Kudenko
IJRR
2008
139views more  IJRR 2008»
14 years 9 months ago
Learning to Control in Operational Space
One of the most general frameworks for phrasing control problems for complex, redundant robots is operational space control. However, while this framework is of essential importan...
Jan Peters, Stefan Schaal
70
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AUSAI
2005
Springer
15 years 3 months ago
Adaptive Utility-Based Scheduling in Resource-Constrained Systems
This paper addresses the problem of scheduling jobs in soft real-time systems, where the utility of completing each job decreases over time. We present a utility-based framework fo...
David Vengerov
ISCAS
2006
IEEE
103views Hardware» more  ISCAS 2006»
15 years 3 months ago
Towards autonomous adaptive behavior in a bio-inspired CNN-controlled robot
— This paper describes a general approach for the unsupervised learning of behaviors in a behavior-based robot. The key idea is to formalize a behavior produced by a Motor Map dr...
Paolo Arena, Luigi Fortuna, Mattia Frasca, Luca Pa...
CCS
2010
ACM
14 years 9 months ago
Demonstrating cognitive packet network resilience to worm attacks
The need for network stability and reliability has led to the growth of autonomic networks [2] that can provide more stable and more reliable communications via on-line measuremen...
Georgia Sakellari, Erol Gelenbe